Senior Engineer, Systems Engineering

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!

Salesforce AI Team Job Summary: The Salesforce Senior Developer on the Salesforce AI Team will play a pivotal role in designing, building, and deploying intelligent, AI-powered Salesforce solutions that transform how Cencora leverages its CRM platform. This role sits at the intersection of Salesforce development and artificial intelligence, requiring expertise in both traditional Salesforce engineering and emerging AI/ML capabilities within the Salesforce ecosystem — including Agentforce , Einstein AI , and Einstein Copilot . The ideal candidate is a forward-thinking technologist who is passionate about automation, predictive intelligence, and building next-generation enterprise AI solutions at scale.

Design, develop, and deploy  AI-powered Salesforce solutions  leveraging  Agentforce ,  Einstein AI ,  Einstein Copilot , and  Einstein Bots Build and configure  AI Agents  using Agentforce, including defining agent topics, actions, and instructions to automate complex business workflows Develop custom  Apex ,  Lightning Web Components (LWC) , and  Salesforce Flows  to extend and integrate AI capabilities into core Salesforce processes Design and implement  prompt templates  and  Prompt Builder  configurations to power generative AI features across Salesforce clouds Integrate Salesforce AI features with  external LLMs   and third-party AI/ML platforms via REST/SOAP APIs Collaborate with data engineers and architects to ensure high-quality, well-governed  Salesforce Data Cloud  pipelines that feed AI models Leverage  Salesforce Data Cloud  (formerly CDP) to unify customer data and build unified customer profiles to power AI-driven personalization and automation Partner with business stakeholders to translate complex business requirements into scalable, intelligent Salesforce solutions Conduct  code reviews , ensure adherence to Salesforce best practices, and mentor junior developers on AI-related development patterns Monitor, optimize, and maintain AI model performance, agent behavior, and automation outcomes in production environments Stay ahead of the Salesforce AI roadmap, evaluating new features across  Einstein ,  Agentforce , and  Salesforce+AI  releases and recommending adoption strategies Participate in Agile/Scrum ceremonies and contribute to sprint planning, backlog grooming, and retrospectives Basic Qualifications: Bachelor's degree in Computer Science, Information Technology, Engineering, Artificial Intelligence, or a related field (or equivalent work experience) 5+ years  of hands-on Salesforce development experience Proficiency in  Apex ,  Lightning Web Components (LWC) ,  SOQL/SOSL , and  Salesforce Flow Hands-on experience with  Salesforce Einstein AI  features (Einstein Prediction Builder, Einstein Classification, Einstein Bots, or Einstein Copilot) Experience developing or configuring  Agentforce  agents, including agent topics, actions, and instructions Solid understanding of  Prompt Builder  and  generative AI prompt engineering  within the Salesforce platform Experience with  REST and SOAP API  integrations and connecting Salesforce to external AI/ML services Familiarity with  Salesforce Data Cloud  or similar customer data platform (CDP) technologies Strong understanding of Salesforce  data model, security model , and  governor limits Experience with  Salesforce DX (SFDX) ,  Git , and CI/CD deployment pipelines Active  Salesforce Certified Platform Developer I  , Salesforce Certified AI Associate / AI Specialist   Certification Preferred